Allison Lowman
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
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- Glioma Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 4
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Peter S. LaViolette (22 shared papers)Samuel Bobholz (17 shared papers)Anjishnu Banerjee (10 shared papers)Sean D. McGarry (8 shared papers)Kenneth A. Iczkowski (11 shared papers)Michael Brehler (12 shared papers)John D. Bukowy (7 shared papers)Jennifer Connelly (7 shared papers)
- Journals
- Tomography (3 papers)Neuro-Oncology (2 papers)Journal of Clinical Oncology (1 paper)Frontiers in Oncology (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- United StatesThailandBulgaria
In The Last Decade
Allison Lowman
21 papers receiving 199 citations
Peers
Comparison fields: 5 of 35
- Radiology, Nuclear Medicine and Imaging 99
- Genetics 46
- Pulmonary and Respiratory Medicine 60
- Health Informatics 2
- Biophysics 8
Countries citing papers authored by Allison Lowman
This map shows the geographic impact of Allison Lowman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Allison Lowman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison Lowman more than expected).
Fields of papers citing papers by Allison Lowman
This network shows the impact of papers produced by Allison Lowman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Allison Lowman. The network helps show where Allison Lowman may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison Lowman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2020 | 34 | |
| 3 | 2022 | 21 | |
| 4 | 2023 | 17 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2019 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 1 |
About Allison Lowman
Allison Lowman is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 201 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (8 papers), Prostate Cancer Diagnosis and Treatment (7 papers), AI in cancer detection (6 papers), MRI in cancer diagnosis (4 papers), Medical Imaging and Analysis (3 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (99 citations), Genetics (46 citations), Pulmonary and Respiratory Medicine (60 citations), Health Informatics (2 citations) and Biophysics (8 citations). Allison Lowman has collaborated with scholars based in United States, Thailand and Bulgaria. Frequent co-authors include Peter S. LaViolette, Samuel Bobholz, Anjishnu Banerjee, Sean D. McGarry, Kenneth A. Iczkowski, Michael Brehler, John D. Bukowy, Jennifer Connelly, Kenneth Jacobsohn and Wade M. Mueller. Their work appears in journals such as Tomography, Neuro-Oncology, Journal of Clinical Oncology, Frontiers in Oncology and Journal of Neuro-Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.